Video contrast abnormity detection method and device

A contrast and anomaly technology, applied in the field of video contrast anomaly detection methods and devices, can solve problems such as low video contrast accuracy, and achieve the effects of improving accuracy and accurate detection results

Active Publication Date: 2015-03-18
ZHEJIANG DAHUA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a video contrast anomaly detection method and device to solve the

Method used

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  • Video contrast abnormity detection method and device
  • Video contrast abnormity detection method and device
  • Video contrast abnormity detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0093] Example 1:

[0094] figure 2 This is a flowchart of a method for detecting anomalous video contrast provided in Embodiment 1 of the present invention, which specifically includes the following processing steps:

[0095] Step 201: Obtain a video image to be detected from a video to be detected.

[0096] Step 202: Use a preset extraction method to extract the brightness feature information of the video image to be detected.

[0097] Step 203: Match the brightness feature information with the first type of classification feature information to obtain a first matching result, where the first type of classification feature information is based on pre-extracting a plurality of high contrast abnormalities using the preset extraction method. The video image corresponds to the multiple brightness feature information obtained.

[0098] In this step, the support vector machine (SVM) method can be used to determine the classification feature information. Specifically, the SVM method can be...

Example Embodiment

[0124] Example 2:

[0125] image 3 This is a flowchart of a method for detecting anomalous video contrast provided in Embodiment 2 of the present invention, which specifically includes the following processing steps:

[0126] Step 301: Obtain a video image to be detected from the video to be detected.

[0127] Step 302: Use a preset extraction method to extract the brightness feature information of the video image to be detected.

[0128] Step 303: Match the brightness feature information with the first type of classification feature information to obtain a first matching result, where the first type of classification feature information is based on pre-extracting a plurality of high contrast abnormalities based on the preset extraction method. The video image corresponds to the multiple brightness feature information obtained.

[0129] In this step, the SVM method can be used to determine the classification feature information. Specifically, the SVM method can be used to analyze and ...

Example Embodiment

[0143] Example 3:

[0144] Figure 4 This is a flowchart of a method for detecting anomalous video contrast provided in Embodiment 3 of the present invention, which specifically includes the following processing steps:

[0145] Step 401: Obtain a video image to be detected from a video to be detected.

[0146] Step 402: For each value in the brightness value range, determine the number of pixels with the brightness value of the value in the to-be-detected video image as the number of pixels corresponding to the value.

[0147] Step 403: From all the values ​​in the brightness value range, determine that the number of corresponding pixels is not less than the maximum value and the minimum value of the preset number threshold.

[0148] In this step, for the number of pixels G1 corresponding to each value in the brightness value range, the relationship between G1 and the preset number threshold TH1 can be compared. When G1 is less than TH1, the value of G1 is set to 0, and when G1 is not l...

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Abstract

The invention discloses a video contrast abnormity detection method and device. The video contrast abnormity detection method includes the following steps that: a video image to be detected is acquired from a video to be detected; brightness feature information of the video image to be detected is extracted through adopting a preset extraction mode; the brightness feature information is matched with a first kind of classification feature information, so that a first matching result can be obtained, wherein the first kind of classification feature information is determined by a plurality of pieces of brightness feature information which are correspondingly obtained in advance through extracting a plurality of video images of which the contract is abnormally high by adopting the preset extraction mode; and whether the first matching result satisfies a first preset matching condition is judged, so that whether the contrast of the video image to be detected is abnormally high can be determined. Compared with the prior art, the method and device of the invention can improve the accuracy of detection in which whether video contrast is abnormally high is detected.

Description

technical field [0001] The invention relates to the fields of video analysis and video monitoring, in particular to a method and device for detecting abnormal video contrast. Background technique [0002] In the video surveillance system, because the camera is blocked by foreign objects, the lens is out of focus, the lens is damaged, or it is affected by external interference and human adjustments, it is easy to cause the contrast of the captured video image to be too low or too high, resulting in video image loss. The loss of information seriously affects the visual effect of the video and the subsequent analysis and processing of the video image. Therefore, how to accurately detect and analyze the abnormal contrast in video surveillance, and issue an alarm and process the signal in time is an urgent problem to be solved. [0003] At present, an existing video image contrast anomaly detection method is based on the method of calculating the connected domain of the extreme p...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/64
CPCG06V20/48G06V20/40
Inventor 胡逢法潘晖潘石柱张兴明傅利泉朱江明吴军吴坚
Owner ZHEJIANG DAHUA TECH
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